ishido - 1 year ago 192

Python Question

If for example, I have the following coordinates with corresponding colors

which represent a hexagonal shaped grid of hexagons:

`coord = [[0,0,0],[0,1,-1],[-1,1,0],[-1,0,1],[0,-1,1],[1,-1,0],[1,0,-1]]`

colors = [["Green"],["Blue"],["Green"],["Green"],["Red"],["Green"],["Green"]]

How can one plot this in Python so that the points on the plot retain that hexagonal shape? Additionally how can one represent the 'colors' list on the hexagon.

Somewhat like this:

Simple Hexagonal grid

But the look doesn't matter, just a simple scatter plot type visualization would suffice, just so that one can see where in relation to other hexagons the colors lie.

Recommended for you: Get network issues from **WhatsUp Gold**. **Not end users.**

Answer Source

You just need to turn the `(y, z)`

coordinates from your hexagons into the `y`

cartesian coordinate on the matplotlib axes.

I think the correct way to do that is using this formula:

```
y_cartesian = (2 / 3) * sin(60) * (y_hex - z_hex)
```

You can then add the hexagons using a matplotlib `RegularPolygon`

patch, or plot the centres using `scatter`

.

Here's a script to make a plot from your lists:

```
import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
import numpy as np
coord = [[0,0,0],[0,1,-1],[-1,1,0],[-1,0,1],[0,-1,1],[1,-1,0],[1,0,-1]]
colors = [["Green"],["Blue"],["Green"],["Green"],["Red"],["Green"],["Green"]]
labels = [['yes'],['no'],['yes'],['no'],['yes'],['no'],['no']]
# Horizontal cartesian coords
hcoord = [c[0] for c in coord]
# Vertical cartersian coords
vcoord = [2. * np.sin(np.radians(60)) * (c[1] - c[2]) /3. for c in coord]
fig, ax = plt.subplots(1)
ax.set_aspect('equal')
# Add some coloured hexagons
for x, y, c, l in zip(hcoord, vcoord, colors, labels):
color = c[0].lower() # matplotlib understands lower case words for colours
hex = RegularPolygon((x, y), numVertices=6, radius=2. / 3.,
orientation=np.radians(30),
facecolor=color, alpha=0.2, edgecolor='k')
ax.add_patch(hex)
# Also add a text label
ax.text(x, y+0.2, l[0], ha='center', va='center', size=20)
# Also add scatter points in hexagon centres
ax.scatter(hcoord, vcoord, c=[c[0].lower() for c in colors], alpha=0.5)
plt.show()
```

Recommended from our users: **Dynamic Network Monitoring from WhatsUp Gold from IPSwitch**. ** Free Download**